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The Data Warehouse Method

The Data Warehouse Method

          
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About the Book

This book presents a coherent, systematic approach to building, maintaining and evolving today's largest data warehouses. Discover what quality data warehouse processes and technical architectures have in common, and key success factors in choosing and using managed query environment tools. Learn next-generation methodologies for workflow strategy, analysis and design. Understand the role of the database administrator in tuning, controlling parallelism, tablespaces and processes; and optimizing performance. This is essential reading for all database professionals who are constructing and managing very large data warehouses.

Table of Contents:
1. The Data Warehouse Method. Quality Data Warehouses Processes. Data Warehouse Methodology. Technical Architectures. Data Warehouse Administration. Performance Management. 2. The Managed Query Environment. Interaction with the MQE Environment. Data Mining Tools. Implementing the Discovery into the Strategy. 3. Methodology. Data Warehouse Method Introduction. Team Roles in the IDSE. Preparation for Data Warehouse Methods. The Guiding Principals of the Data Warehouse Method. 4. Strategy. Strategy and the Data Warehouse. CASE and Strategic Analysis. Quality in a DWM Strategy. MQE Tools. Strategy Quality Risks. Strategy Deliverables. 5. Analysis. Analysis Phase Use Case Analysis. Analysis Planning. Business Rules Analysis. Business Rules, Terms and Objectives. Analysis Data Elements. Candidate Semantic Cubes. Acquisition Classes. Quality Risks, Quality Improvements. Analysis Functional Documentation and Deliverable. 6. Design. Design Use Case Analysis. Planning for Design. Acquisition Module Design. Data Object Construction. Quality Risks/Quality Improvements in the Design Process. Design Conclusion. 7. Construction. Construction Use Case. Planning for Construction. Constructing the Process Monitor. Construction Project Example. Quality Risks, Quality Improvements for the Construction Phase. Construction Conclusion. 8. The Quality DW Technical Architecture. Fading Client Server Architectures. Logical Architecture. Physical Architecture. Subsystem Requirements. Summary. 9. Administration of the IDSE. The Mission of the Database Administrator. The Roles of the DBA. Managing Memory and I/O Resources. Optimizing "Star" Queries. Parallel Query Tuning. Tablespaces. Partitioning and the Parallel Load. Partitions in Oracle. Fragmentation. Process Management. Oracle's Cost Based Analyzer. Backup and Recovery. Conclusion. 10. Managing Dimension and Event Data. Degrees of Freedom and the Aggregate. Aggregate Management Process Overview. Components of the Solution. Aggregate Creation. Conclusion. 11. Conclusion. The Need for a New Repository. Business Knowledge Method. Components of the BRR Architecture. Object Transport Components. Business Rules Data Schema. Operational Data Store. Enterprise Architecture. Summary. Appendix A: IDSE Sample Object Naming Convention. Naming Conventions and Guidelines. CASE Abbreviations. Appendix B: Aggregate Wizard Setup. Steps for Installation. Aggregate Forms. Appendix C: Aggregate Wizard Package Listing. Repository Utilities. Repository Integration Utilities. Aggregate Generation Utilities. Task Broker. Aggregate Wizard, Remote Agent. References. Index.


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Product Details
  • ISBN-13: 9780130813060
  • Publisher: Pearson Education (US)
  • Publisher Imprint: Prentice Hall
  • Language: English
  • Spine Width: 35 mm
  • Width: 242 mm
  • ISBN-10: 0130813060
  • Publisher Date: 14 Jan 1999
  • Binding: SA
  • No of Pages: 420
  • Weight: 1123 gr


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